MLVSBM: A Stochastic Block Model for Multilevel Networks

Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.

Version:	0.2.4
Depends:	R (≥ 3.5.0)
Imports:	R6, blockmodels, ape, magrittr, cluster
Suggests:	testthat (≥ 2.1.0), covr, knitr, rmarkdown, ggplot2 (≥ 3.3.2), ggforce, spelling, cowplot, reshape2, dplyr
Published:	2022-08-05
DOI:	10.32614/CRAN.package.MLVSBM
Author:	Saint-Clair Chabert-Liddell [aut, cre]
Maintainer:	Saint-Clair Chabert-Liddell <academic at chabert-liddell.com>
BugReports:	https://github.com/Chabert-Liddell/MLVSBM/issues
License:	GPL-3
URL:	https://github.com/Chabert-Liddell/MLVSBM
NeedsCompilation:	no
Language:	en-US
Citation:	MLVSBM citation info
Materials:	README NEWS
CRAN checks:	MLVSBM results

Documentation:

Reference manual:	MLVSBM.pdf
Vignettes:	Tutorial

Downloads:

Package source:	MLVSBM_0.2.4.tar.gz
Windows binaries:	r-devel: MLVSBM_0.2.4.zip, r-release: MLVSBM_0.2.4.zip, r-oldrel: MLVSBM_0.2.4.zip
macOS binaries:	r-release (arm64): MLVSBM_0.2.4.tgz, r-oldrel (arm64): MLVSBM_0.2.4.tgz, r-release (x86_64): MLVSBM_0.2.4.tgz, r-oldrel (x86_64): MLVSBM_0.2.4.tgz
Old sources:	MLVSBM archive

Linking:

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